Upload DQN LunarLander-v2 trained agent

README.md

@@ -0,0 +1,37 @@
+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: dqn
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+    metrics:
+    - type: mean_reward
+      value: -116.97 +/- 89.45
+      name: mean_reward
+      verified: false
+---
+
+# **dqn** Agent playing **LunarLander-v2**
+This is a trained model of a **dqn** agent playing **LunarLander-v2**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+
+## Usage (with Stable-baselines3)
+TODO: Add your code
+
+
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+
+...
+```

config.json

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dqn-LunarLander-v1.zip

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dqn-LunarLander-v1/_stable_baselines3_version

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dqn-LunarLander-v1/data

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+- Python: 3.11.0
+- Stable-Baselines3: 2.0.0a5
+- PyTorch: 2.1.2+cu121
+- GPU Enabled: True
+- Numpy: 1.26.3
+- Cloudpickle: 3.0.0
+- Gymnasium: 0.28.1

results.json

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